⌘K ctrl+k
Search Shortcut cmd + k | ctrl + k
Integration with Polars

Polars is a DataFrames library built in Rust with bindings for Python and Node.js. It uses Apache Arrow's columnar format as its memory model. DuckDB can read Polars DataFrames and convert query results to Polars DataFrames. It does this internally using the efficient Apache Arrow integration. Note that the pyarrow library must be installed for the integration to work.

Installation 

pip install -U duckdb 'polars[pyarrow]'

Polars to DuckDB

DuckDB can natively query Polars DataFrames and LazyFrames by referring to their names as they exist in the current scope. DuckDB pushes the column selections of a query, and the filters it can translate, into a LazyFrame, so Polars collects only the rows and columns the query needs. A DataFrame is converted in full and filtered afterwards.

import duckdb
import polars as pl

df = pl.DataFrame(
    {
        "A": [1, 2, 3, 4, 5],
        "fruits": ["banana", "banana", "apple", "apple", "banana"],
        "B": [5, 4, 3, 2, 1],
        "cars": ["beetle", "audi", "beetle", "beetle", "beetle"],
    }
)
duckdb.sql("SELECT * FROM df").show()

DuckDB to Polars

DuckDB can output results as Polars DataFrames using the .pl() method of a relation, the object that duckdb.sql and con.sql return. Results of con.execute() have no .pl() method.

df = duckdb.sql("""
    SELECT 1 AS id, 'banana' AS fruit
    UNION ALL
    SELECT 2, 'apple'
    UNION ALL
    SELECT 3, 'mango'"""
).pl()
print(df)

shape: (3, 2)
┌─────┬────────┐
│ id  ┆ fruit  │
│ --- ┆ ---    │
│ i32 ┆ str    │
╞═════╪════════╡
│ 1   ┆ banana │
│ 2   ┆ apple  │
│ 3   ┆ mango  │
└─────┴────────┘

The optional lazy parameter allows returning Polars LazyFrames.

df = duckdb.sql("""
    SELECT 1 AS id, 'banana' AS fruit
    UNION ALL
    SELECT 2, 'apple'
    UNION ALL
    SELECT 3, 'mango'"""
).pl(lazy=True)
print(df)

naive plan: (run LazyFrame.explain(optimized=True) to see the optimized plan)

PYTHON SCAN []
PROJECT */2 COLUMNS

A relation also implements the Arrow PyCapsule interface, so pl.DataFrame(rel) reads it too, without pyarrow installed. pl.from_arrow(rel) returns a Series with one struct per row instead of a DataFrame.

To learn more about Polars, feel free to explore their Python API Reference.

© 2026 DuckDB Foundation, Amsterdam NL
DuckDB Home Code of Conduct Trademark Use Blog